Mediterranean Swordfish Social and Economic MSE
Laurence Kell
26/03/2015
Figure 1. Length Frequencies with age modes (red) and total distributions (green) from the statistical estimation overlayed.
Figure 2. Deterministic numbers-at-age from age slicing procedure.
Figure 3. Statistical estimates of numbers-at-age from the mixture distribution analysis.
Figure 4. A comparison of catch numbers-at-age from the statistical and deterministic ageing procedures.
Figure 5. Standardised residuals of the proportion of numbers-at-age from the deterministic age slicing procedure (red negative and black positive residuals).
Figure 6. Standardised residuals for the proportion of numbers-at-age from the statistical mixture distribution analysis (red negative and black positive residuals).
Figure 7. Comparison of total catch biomass derived from different procedures.
[1] 1.018803
Figure 8. Catch-at-size by lustrum (5 year block).
Figure 9. Powell-Wheatherall plots
Figure 10. Estimates of Z derived from the Powell-Wetherall plots; showing the estimates from each year (black line with points) and a smoother (blue continuous line).
Figure 11. Catch curves by lustrum from statisical age estimates.
Figure 12. Estimated selectivity by lustrum.
Selectivity by gear
Figure 13. Catch curves by gear based on age estimates
Selectivity by gear and lustrum
Figure 14. Catch curves by gear and lustrum based on statistical age estimates.
XSA Continuity Run
Figure 15. XSA diagnostics from continuity run; residuals against fitted value.
Figure 16. XSA diagnostics from continuity run; residuals against year.
Figure 17. XSA diagnostics from continuity run; Calibration regression plots for age 2 (outlier for Scilian gillnet removed).
Figure 18. XSA diagnostics from continuity run; Calibration regression plots for age 3 (outlier for Scilian gillnet removed).
Figure 19. XSA diagnostics from continuity run; Calibration regression plots for age 4 (outlier for Scilian gillnet removed).
Figure 20. XSA diagnostics from continuity run; AR plots of lagged residuals
Figure 21. XSA diagnostics from continuity run; QQ plots to check for normality
Figure 22. XSA diagnostics from continuity run; weights for terminal year Ns for each CPUE observation and shrinkage
Figure 23. XSA time series estimates by CPUE series.
Figure 24. Retrospective XSA time series estimates.
Alternative Run
Figure 25. XSA diagnostics from alternative run; residuals against fitted value.
Figure 26. XSA diagnostics from from alternative run; residuals against year.
Figure 27. XSA diagnostics from from alternative run; Calibration regression plots for age 2.
Figure 28. XSA diagnostics from alternative run; Calibration regression plots for age 3.
Figure 29. XSA diagnostics from alternative run; Calibration regression plots for age 4.
Figure 30. XSA diagnostics alternative run; AR plots of lagged residuals
Figure 31. XSA diagnostics alternative run; QQ plots to check for normality
Figure 32. XSA diagnostics alternative run; weights for terminal year Ns for each CPUE observation and shrinkage
Figure 33. XSA time series estimates by CPUE series.
Figure 34. Retrospective XSA time series estimates.
Stock Status
Figure 35. XSA alternative run.
Stock Status
Figure 36. Stock Recruitment Relationship
[1] TRUE
Figure 37a. Equilibrium Analysis with reference points.
Figure 37b. Equilibrium Analysis with observations.
Figure 38. Kobe Phase Plot.
Figure 39. Current and mesopelagic selection patterns.
Figure 40. Projections for current selection pattern.
Figure 41. Projections for 50:50 current:mesopelagic selection pattern.
Tables
Table 1a. XSA Control options from continuity run.
tol 1e-09
maxit 30
min.nse 0.3
fse 0.3
rage 1
qage 6
shk.n TRUE
shk.f TRUE
shk.yrs 5
shk.ages 5
window 100
tsrange 20
tspower 3
vpa TRUE Table 1b. XSA Control options from alternative run.
tol 1e-09
maxit 30
min.nse 0.3
fse 0.5
rage 1
qage 6
shk.n TRUE
shk.f TRUE
shk.yrs 5
shk.ages 1
window 100
tsrange 20
tspower 3
vpa TRUE Table 2a. Reference Points
An object of class "FLPar"
quantity
refpt harvest yield rec ssb biomass
virgin 0.0000e+00 0.0000e+00 8.7253e+02 2.3996e+05 2.7087e+05
msy 2.3716e-01 1.5822e+04 8.7239e+02 4.9001e+04 7.2683e+04
crash 3.0960e+00 2.0528e-03 2.5897e-04 2.9679e-06 1.4372e-03
f0.1 1.4443e-01 1.4864e+04 8.7247e+02 8.3994e+04 1.1018e+05
fmax 2.3729e-01 1.5822e+04 8.7239e+02 4.8968e+04 7.2647e+04
spr.30 1.6967e-01 1.5377e+04 8.7245e+02 7.1982e+04 9.7449e+04
units: NA Table 2b. Reference Points with 50% Mesopelagic selection pattern.
An object of class "FLPar"
quantity
refpt harvest yield rec ssb biomass
virgin 0.0000e+00 0.0000e+00 8.7253e+02 2.3996e+05 2.7087e+05
msy 2.3936e-01 1.6928e+04 8.7239e+02 4.8014e+04 7.3028e+04
crash 3.6667e+00 2.3426e-03 2.6828e-04 3.0746e-06 1.7894e-03
f0.1 1.3890e-01 1.5797e+04 8.7247e+02 8.4891e+04 1.1215e+05
fmax 2.3950e-01 1.6928e+04 8.7239e+02 4.7980e+04 7.2991e+04
spr.30 1.6610e-01 1.6410e+04 8.7245e+02 7.1982e+04 9.8604e+04
units: NA Table 3. Stock information
An object of class "FLStock"
Slot "catch":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995
all 15292 16765 18320 20365 17762 16018 15746 14709 13265 16082 13015
year
age 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
all 12053 14693 14369 13699 15569 15006 12814 15674 14405 14601 14893
year
age 2007 2008 2009 2010 2011 2012 2013
all 14227 12164 11840 13430 11423 9888 11254
units: NA
Slot "catch.n":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992
0 28.242 23.026 59.863 87.583 85.120 24.241 37.785 64.576
1 136.249 97.223 143.828 251.937 198.807 245.874 174.984 183.301
2 123.464 164.965 122.299 154.170 158.743 264.890 183.578 199.169
3 80.758 79.100 82.774 87.777 90.329 78.250 95.343 64.861
4 43.094 44.479 61.249 66.955 55.246 24.141 35.914 30.297
5 51.689 60.082 68.676 61.586 45.683 23.961 32.666 33.308
year
age 1993 1994 1995 1996 1997 1998 1999 2000
0 57.788 68.150 68.078 37.792 33.533 58.288 37.498 17.538
1 250.042 215.968 244.803 179.192 158.290 246.861 179.594 211.476
2 176.138 224.500 153.038 149.822 184.718 146.685 144.680 169.683
3 51.152 70.369 56.648 68.404 88.963 58.984 69.426 80.395
4 23.242 26.086 22.841 22.853 39.951 32.727 35.523 37.796
5 27.114 36.020 26.344 21.687 24.210 39.081 33.797 37.307
year
age 2001 2002 2003 2004 2005 2006 2007 2008
0 28.657 19.958 58.022 66.847 19.269 33.028 27.082 15.925
1 197.246 299.699 227.069 248.912 238.277 174.597 276.103 286.693
2 185.113 190.989 244.351 162.812 182.680 178.085 147.444 163.687
3 84.975 48.805 78.228 68.060 67.495 63.710 69.903 61.353
4 29.106 17.499 29.984 31.323 28.467 30.916 31.339 21.385
5 29.979 20.505 21.683 31.797 30.265 39.870 28.437 14.084
year
age 2009 2010 2011 2012 2013
0 13.939 30.301 93.302 24.092 4.295
1 190.718 155.590 127.894 119.511 138.311
2 140.944 125.927 119.679 85.382 147.900
3 59.636 82.183 75.960 44.170 53.653
4 32.426 42.514 24.176 20.804 24.865
5 21.934 29.184 22.413 26.463 25.440
units: NA
Slot "catch.wt":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991
0 3.6532 3.4611 4.1852 4.7990 3.5240 3.5432 3.5686
1 11.3859 11.4094 10.7864 10.9208 11.4493 11.3028 11.4519
2 23.2197 23.5354 23.5257 22.7368 22.6423 23.1079 23.4560
3 39.8577 39.8580 39.8599 40.2500 39.9222 39.8653 40.0094
4 59.3496 59.6720 60.0047 59.5889 59.7872 59.4888 59.4173
5 92.3146 93.0339 93.7232 95.3473 95.1656 92.8173 96.0019
year
age 1992 1993 1994 1995 1996 1997 1998
0 3.5737 3.7333 3.6320 3.5368 3.6671 3.5938 3.6855
1 12.2199 11.8369 12.2182 11.1364 11.2517 11.3582 10.3571
2 21.9087 21.5191 22.2821 23.3540 23.4949 23.8359 22.6605
3 39.8665 39.8577 39.8581 39.8589 39.9450 39.9022 39.8729
4 59.4650 59.5206 59.5342 59.6126 59.4119 59.4473 59.6309
5 96.8981 96.9763 98.2184 97.2632 97.0063 90.7870 95.3015
year
age 1999 2000 2001 2002 2003 2004 2005
0 3.8265 3.6447 3.5962 3.6719 3.3923 3.5960 3.4958
1 11.5338 11.2399 11.4651 11.0524 12.0171 10.3765 11.9160
2 22.4437 23.0644 23.0044 22.3872 22.4847 23.0936 22.2746
3 39.8577 39.8595 39.8580 39.8577 39.8594 39.8577 39.8577
4 59.2656 59.4337 59.3434 59.5623 59.3891 59.4809 59.4462
5 93.4997 94.9301 101.2173 98.6765 97.2858 96.5135 101.1185
year
age 2006 2007 2008 2009 2010 2011 2012
0 3.4734 3.5666 3.6360 3.6650 3.7264 3.5303 3.6512
1 12.2873 10.8433 11.3771 11.0168 10.8262 11.1516 11.5637
2 22.3000 23.2649 22.3917 22.2528 23.1594 23.0692 22.5232
3 39.8578 39.8592 39.8591 39.8610 39.8596 39.8585 39.8584
4 59.5315 59.2984 59.3724 59.4296 59.1306 58.9226 59.1892
5 101.1966 100.5098 93.5758 91.6229 94.3420 99.0956 99.7293
year
age 2013
0 3.5458
1 11.8368
2 22.4708
3 39.8625
4 59.2671
5 97.9790
units: NA
Slot "discards":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
all 0 0 0 0 0 0 0 0 0 0 0 0 0
year
age 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
all 0 0 0 0 0 0 0 0 0 0 0 0 0
year
age 2011 2012 2013
all 0 0 0
units: NA
Slot "discards.n":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 0 0 0 0 0 0
5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
year
age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 0 0 0 0 0 0 0 0 0 0 0 0 0 0
3 0 0 0 0 0 0 0 0 0 0 0 0 0 0
4 0 0 0 0 0 0 0 0 0 0 0 0 0 0
5 0 0 0 0 0 0 0 0 0 0 0 0 0 0
year
age 2013
0 0
1 0
2 0
3 0
4 0
5 0
units: NA
Slot "discards.wt":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992
0 3.6532 3.4611 4.1852 4.7990 3.5240 3.5432 3.5686 3.5737
1 11.3859 11.4094 10.7864 10.9208 11.4493 11.3028 11.4519 12.2199
2 23.2197 23.5354 23.5257 22.7368 22.6423 23.1079 23.4560 21.9087
3 39.8577 39.8580 39.8599 40.2500 39.9222 39.8653 40.0094 39.8665
4 59.3496 59.6720 60.0047 59.5889 59.7872 59.4888 59.4173 59.4650
5 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
year
age 1993 1994 1995 1996 1997 1998 1999 2000
0 3.7333 3.6320 3.5368 3.6671 3.5938 3.6855 3.8265 3.6447
1 11.8369 12.2182 11.1364 11.2517 11.3582 10.3571 11.5338 11.2399
2 21.5191 22.2821 23.3540 23.4949 23.8359 22.6605 22.4437 23.0644
3 39.8577 39.8581 39.8589 39.9450 39.9022 39.8729 39.8577 39.8595
4 59.5206 59.5342 59.6126 59.4119 59.4473 59.6309 59.2656 59.4337
5 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
year
age 2001 2002 2003 2004 2005 2006 2007 2008
0 3.5962 3.6719 3.3923 3.5960 3.4958 3.4734 3.5666 3.6360
1 11.4651 11.0524 12.0171 10.3765 11.9160 12.2873 10.8433 11.3771
2 23.0044 22.3872 22.4847 23.0936 22.2746 22.3000 23.2649 22.3917
3 39.8580 39.8577 39.8594 39.8577 39.8577 39.8578 39.8592 39.8591
4 59.3434 59.5623 59.3891 59.4809 59.4462 59.5315 59.2984 59.3724
5 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
year
age 2009 2010 2011 2012 2013
0 3.6650 3.7264 3.5303 3.6512 3.5458
1 11.0168 10.8262 11.1516 11.5637 11.8368
2 22.2528 23.1594 23.0692 22.5232 22.4708
3 39.8610 39.8596 39.8585 39.8584 39.8625
4 59.4296 59.1306 58.9226 59.1892 59.2671
5 0.0000 0.0000 0.0000 0.0000 0.0000
units: NA
Slot "landings":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995
all 15292 16765 18320 20365 17762 16018 15746 14709 13265 16082 13015
year
age 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
all 12053 14693 14369 13699 15569 15006 12814 15674 14405 14601 14893
year
age 2007 2008 2009 2010 2011 2012 2013
all 14227 12164 11840 13430 11423 9888 11254
units: NA
Slot "landings.n":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992
0 28.242 23.026 59.863 87.583 85.120 24.241 37.785 64.576
1 136.249 97.223 143.828 251.937 198.807 245.874 174.984 183.301
2 123.464 164.965 122.299 154.170 158.743 264.890 183.578 199.169
3 80.758 79.100 82.774 87.777 90.329 78.250 95.343 64.861
4 43.094 44.479 61.249 66.955 55.246 24.141 35.914 30.297
5 51.689 60.082 68.676 61.586 45.683 23.961 32.666 33.308
year
age 1993 1994 1995 1996 1997 1998 1999 2000
0 57.788 68.150 68.078 37.792 33.533 58.288 37.498 17.538
1 250.042 215.968 244.803 179.192 158.290 246.861 179.594 211.476
2 176.138 224.500 153.038 149.822 184.718 146.685 144.680 169.683
3 51.152 70.369 56.648 68.404 88.963 58.984 69.426 80.395
4 23.242 26.086 22.841 22.853 39.951 32.727 35.523 37.796
5 27.114 36.020 26.344 21.687 24.210 39.081 33.797 37.307
year
age 2001 2002 2003 2004 2005 2006 2007 2008
0 28.657 19.958 58.022 66.847 19.269 33.028 27.082 15.925
1 197.246 299.699 227.069 248.912 238.277 174.597 276.103 286.693
2 185.113 190.989 244.351 162.812 182.680 178.085 147.444 163.687
3 84.975 48.805 78.228 68.060 67.495 63.710 69.903 61.353
4 29.106 17.499 29.984 31.323 28.467 30.916 31.339 21.385
5 29.979 20.505 21.683 31.797 30.265 39.870 28.437 14.084
year
age 2009 2010 2011 2012 2013
0 13.939 30.301 93.302 24.092 4.295
1 190.718 155.590 127.894 119.511 138.311
2 140.944 125.927 119.679 85.382 147.900
3 59.636 82.183 75.960 44.170 53.653
4 32.426 42.514 24.176 20.804 24.865
5 21.934 29.184 22.413 26.463 25.440
units: NA
Slot "landings.wt":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991
0 3.6532 3.4611 4.1852 4.7990 3.5240 3.5432 3.5686
1 11.3859 11.4094 10.7864 10.9208 11.4493 11.3028 11.4519
2 23.2197 23.5354 23.5257 22.7368 22.6423 23.1079 23.4560
3 39.8577 39.8580 39.8599 40.2500 39.9222 39.8653 40.0094
4 59.3496 59.6720 60.0047 59.5889 59.7872 59.4888 59.4173
5 92.3146 93.0339 93.7232 95.3473 95.1656 92.8173 96.0019
year
age 1992 1993 1994 1995 1996 1997 1998
0 3.5737 3.7333 3.6320 3.5368 3.6671 3.5938 3.6855
1 12.2199 11.8369 12.2182 11.1364 11.2517 11.3582 10.3571
2 21.9087 21.5191 22.2821 23.3540 23.4949 23.8359 22.6605
3 39.8665 39.8577 39.8581 39.8589 39.9450 39.9022 39.8729
4 59.4650 59.5206 59.5342 59.6126 59.4119 59.4473 59.6309
5 96.8981 96.9763 98.2184 97.2632 97.0063 90.7870 95.3015
year
age 1999 2000 2001 2002 2003 2004 2005
0 3.8265 3.6447 3.5962 3.6719 3.3923 3.5960 3.4958
1 11.5338 11.2399 11.4651 11.0524 12.0171 10.3765 11.9160
2 22.4437 23.0644 23.0044 22.3872 22.4847 23.0936 22.2746
3 39.8577 39.8595 39.8580 39.8577 39.8594 39.8577 39.8577
4 59.2656 59.4337 59.3434 59.5623 59.3891 59.4809 59.4462
5 93.4997 94.9301 101.2173 98.6765 97.2858 96.5135 101.1185
year
age 2006 2007 2008 2009 2010 2011 2012
0 3.4734 3.5666 3.6360 3.6650 3.7264 3.5303 3.6512
1 12.2873 10.8433 11.3771 11.0168 10.8262 11.1516 11.5637
2 22.3000 23.2649 22.3917 22.2528 23.1594 23.0692 22.5232
3 39.8578 39.8592 39.8591 39.8610 39.8596 39.8585 39.8584
4 59.5315 59.2984 59.3724 59.4296 59.1306 58.9226 59.1892
5 101.1966 100.5098 93.5758 91.6229 94.3420 99.0956 99.7293
year
age 2013
0 3.5458
1 11.8368
2 22.4708
3 39.8625
4 59.2671
5 97.9790
units: NA
Slot "stock":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
all NA NA NA NA NA NA NA NA NA NA NA NA NA
year
age 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
all NA NA NA NA NA NA NA NA NA NA NA NA NA
year
age 2011 2012 2013
all NA NA NA
units: NA * NA
Slot "stock.n":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991
0 756.814 764.447 969.811 1125.211 971.469 803.596 832.919
1 807.439 594.133 605.087 740.002 842.246 718.610 636.044
2 564.924 538.417 398.900 366.130 380.030 510.877 367.961
3 330.052 351.499 292.807 216.862 161.904 169.180 182.225
4 176.123 197.650 216.665 165.417 99.021 52.192 68.639
5 211.249 266.985 242.937 152.154 81.881 51.804 62.432
year
age 1992 1993 1994 1995 1996 1997 1998
0 1010.470 919.021 1005.025 907.392 798.066 905.830 885.349
1 647.833 769.041 700.291 761.362 681.501 619.293 711.360
2 363.619 365.836 405.408 379.588 403.797 397.007 364.825
3 137.551 120.435 142.345 132.153 173.856 196.423 160.115
4 64.249 54.718 52.869 53.778 57.555 81.121 81.351
5 70.633 63.834 73.001 62.027 54.620 49.158 97.146
year
age 1999 2000 2001 2002 2003 2004 2005
0 872.648 892.445 1105.914 888.587 998.293 989.508 787.866
1 672.275 680.618 714.835 879.572 709.492 764.978 749.833
2 361.173 389.111 367.523 408.142 451.489 377.226 403.097
3 167.449 166.246 166.922 135.853 163.647 152.104 163.311
4 78.261 75.002 64.376 60.914 67.503 64.168 63.726
5 74.459 74.033 66.308 71.376 48.815 65.137 67.750
year
age 2006 2007 2008 2009 2010 2011 2012
0 968.876 942.771 779.478 685.701 651.320 864.234 752.294
1 627.652 763.433 747.424 623.803 548.818 505.908 623.470
2 400.189 357.108 377.703 355.278 339.607 309.650 299.293
3 166.850 168.531 160.497 162.928 164.748 165.267 146.387
4 73.339 79.566 75.462 76.475 79.977 61.596 67.474
5 94.579 72.198 49.698 51.731 54.899 57.102 85.826
year
age 2013
0 680.415
1 594.176
2 402.919
3 168.390
4 80.216
5 82.073
units: NA
Slot "stock.wt":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991
0 3.6532 3.4611 4.1852 4.7990 3.5240 3.5432 3.5686
1 11.3859 11.4094 10.7864 10.9208 11.4493 11.3028 11.4519
2 23.2197 23.5354 23.5257 22.7368 22.6423 23.1079 23.4560
3 39.8577 39.8580 39.8599 40.2500 39.9222 39.8653 40.0094
4 59.3496 59.6720 60.0047 59.5889 59.7872 59.4888 59.4173
5 92.3146 93.0339 93.7232 95.3473 95.1656 92.8173 96.0019
year
age 1992 1993 1994 1995 1996 1997 1998
0 3.5737 3.7333 3.6320 3.5368 3.6671 3.5938 3.6855
1 12.2199 11.8369 12.2182 11.1364 11.2517 11.3582 10.3571
2 21.9087 21.5191 22.2821 23.3540 23.4949 23.8359 22.6605
3 39.8665 39.8577 39.8581 39.8589 39.9450 39.9022 39.8729
4 59.4650 59.5206 59.5342 59.6126 59.4119 59.4473 59.6309
5 96.8981 96.9763 98.2184 97.2632 97.0063 90.7870 95.3015
year
age 1999 2000 2001 2002 2003 2004 2005
0 3.8265 3.6447 3.5962 3.6719 3.3923 3.5960 3.4958
1 11.5338 11.2399 11.4651 11.0524 12.0171 10.3765 11.9160
2 22.4437 23.0644 23.0044 22.3872 22.4847 23.0936 22.2746
3 39.8577 39.8595 39.8580 39.8577 39.8594 39.8577 39.8577
4 59.2656 59.4337 59.3434 59.5623 59.3891 59.4809 59.4462
5 93.4997 94.9301 101.2173 98.6765 97.2858 96.5135 101.1185
year
age 2006 2007 2008 2009 2010 2011 2012
0 3.4734 3.5666 3.6360 3.6650 3.7264 3.5303 3.6512
1 12.2873 10.8433 11.3771 11.0168 10.8262 11.1516 11.5637
2 22.3000 23.2649 22.3917 22.2528 23.1594 23.0692 22.5232
3 39.8578 39.8592 39.8591 39.8610 39.8596 39.8585 39.8584
4 59.5315 59.2984 59.3724 59.4296 59.1306 58.9226 59.1892
5 101.1966 100.5098 93.5758 91.6229 94.3420 99.0956 99.7293
year
age 2013
0 3.5458
1 11.8368
2 22.4708
3 39.8625
4 59.2671
5 97.9790
units: Tonnes
Slot "m":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998
0 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
3 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
4 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
5 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
year
age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
0 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
1 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
3 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
4 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
5 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2
year
age 2013
0 0.2
1 0.2
2 0.2
3 0.2
4 0.2
5 0.2
units: NA
Slot "mat":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998
0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
3 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
4 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
year
age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
3 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
4 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
5 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0
year
age 2013
0 0.0
1 0.0
2 0.0
3 0.5
4 1.0
5 1.0
units: NA
Slot "harvest":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991
0 0.0420143 0.0337797 0.0704490 0.0896538 0.1014912 0.0338293 0.0513026
1 0.2052350 0.1983939 0.3023849 0.4664010 0.2999438 0.4693404 0.3591603
2 0.2744850 0.4091177 0.4094468 0.6159855 0.6092892 0.8308849 0.7839817
3 0.3127523 0.2838539 0.3710438 0.5839320 0.9320718 0.7021002 0.8424810
4 0.3127527 0.2838544 0.3710447 0.5839342 0.9320786 0.7021110 0.8425076
5 0.3127527 0.2838544 0.3710447 0.5839342 0.9320786 0.7021110 0.8425076
year
age 1992 1993 1994 1995 1996 1997 1998
0 0.0730271 0.0718121 0.0776586 0.0862769 0.0536127 0.0416721 0.0753142
1 0.3714468 0.4402502 0.4124097 0.4341965 0.3403420 0.3291610 0.4778235
2 0.9049974 0.7439321 0.9209337 0.5808594 0.5206431 0.7080658 0.5787399
3 0.7218036 0.6232880 0.7733884 0.6312107 0.5622820 0.6814944 0.5158389
4 0.7218503 0.6233622 0.7711998 0.6232826 0.5691329 0.7690638 0.5791774
5 0.7218503 0.6233622 0.7711998 0.6232826 0.5691329 0.7690638 0.5791774
year
age 1999 2000 2001 2002 2003 2004 2005
0 0.0485310 0.0219126 0.0289925 0.0250833 0.0662000 0.0773572 0.0273431
1 0.3468038 0.4162142 0.3604376 0.4668834 0.4317032 0.4406712 0.4279124
2 0.5758847 0.6463403 0.7952134 0.7139015 0.8879881 0.6371872 0.6820782
3 0.6031630 0.7487315 0.8080579 0.4994079 0.7362098 0.6699664 0.6005665
4 0.6835825 0.7958087 0.6798158 0.3783064 0.6631352 0.7590979 0.6684003
5 0.6835825 0.7958087 0.6798158 0.3783064 0.6631352 0.7590979 0.6684003
year
age 2006 2007 2008 2009 2010 2011 2012
0 0.0383116 0.0321901 0.0227904 0.0226745 0.0526466 0.1265433 0.0359512
1 0.3639476 0.5037166 0.5437324 0.4080468 0.3723236 0.3249322 0.2365645
2 0.6648206 0.5997648 0.6408010 0.5684835 0.5202251 0.5491893 0.3751396
3 0.5405122 0.6034897 0.5413093 0.5115738 0.7838270 0.6958268 0.4015330
4 0.6169215 0.5630756 0.3721444 0.6218329 0.8634098 0.5604856 0.4123003
5 0.6169215 0.5630756 0.3721444 0.6218329 0.8634098 0.5604856 0.4123003
year
age 2013
0 0.0069881
1 0.2951425
2 0.5134540
3 0.4293282
4 0.4149990
5 0.4149990
units: f
Slot "harvest.spwn":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998
0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
1 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
2 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
3 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
4 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
year
age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
1 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
2 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
3 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
4 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
year
age 2013
0 0.5
1 0.5
2 0.5
3 0.5
4 0.5
5 0.5
units: prop
Slot "m.spwn":
An object of class "FLQuant"
, , unit = unique, season = all, area = unique
year
age 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998
0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
1 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
2 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
3 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
4 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
year
age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
0 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
1 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
2 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
3 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
4 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5
year
age 2013
0 0.5
1 0.5
2 0.5
3 0.5
4 0.5
5 0.5
units: NA
Slot "name":
[1] "Swordfish MED "
Slot "desc":
[1] "Imported from a VPA file. ( /home/laurie/Desktop/MEGAsync/mse/trade-offs/inputs/swo.idx ). Thu Mar 26 08:54:50 2015 + FLAssess: + FLAssess: "
Slot "range":
min max plusgroup minyear maxyear minfbar maxfbar
0 5 5 1985 2013 2 4 Table 4a. XSA diagnostics from continuity run.
FLR XSA Diagnostics 2015-03-26 09:00:31
CPUE data from indices
Catch data for 29 years 1985 to 2013. Ages 0 to 5.
fleet first age last age first year last year alpha beta
1 Moroccan Longline 2 4 1999 2011 <NA> <NA>
2 Spanish Longline 2 4 1988 2013 <NA> <NA>
3 Scilian Longline 2 4 1991 2009 <NA> <NA>
4 Scilian Gillnet 2 4 1990 2009 <NA> <NA>
5 Greek Longline 2 4 1987 2013 <NA> <NA>
6 Ligurian Longline 2 4 1991 2009 <NA> <NA>
Time series weights :
Tapered time weighting applied
Power = 3 over 20 years
Catchability analysis :
Catchability independent of size for ages > 1
Catchability independent of age for ages > 4
Terminal population estimation :
Survivor estimates shrunk towards the mean F
of the final 5 years or the 1 oldest ages.
S.E. of the mean to which the estimates are shrunk = 0.5
Minimum standard error for population
estimates derived from each fleet = 0.3
prior weighting not applied
Regression weights
year
age 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
all 0.751 0.82 0.877 0.921 0.954 0.976 0.99 0.997 1 1
Fishing mortalities
year
age 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
0 0.077 0.027 0.038 0.032 0.023 0.023 0.053 0.127 0.036 0.007
1 0.441 0.428 0.364 0.504 0.544 0.408 0.372 0.325 0.237 0.295
2 0.637 0.682 0.665 0.600 0.641 0.568 0.520 0.549 0.375 0.513
3 0.670 0.601 0.541 0.603 0.541 0.512 0.784 0.696 0.402 0.429
4 0.759 0.668 0.617 0.563 0.372 0.622 0.863 0.560 0.412 0.415
5 0.759 0.668 0.617 0.563 0.372 0.622 0.863 0.560 0.412 0.415
XSA population number (Thousand)
age
year 0 1 2 3 4 5
2004 990 765 377 152 64 65
2005 788 750 403 163 64 68
2006 969 628 400 167 73 95
2007 943 763 357 169 80 72
2008 779 747 378 160 75 50
2009 686 624 355 163 76 52
2010 651 549 340 165 80 55
2011 864 506 310 165 62 57
2012 752 623 299 146 67 86
2013 680 594 403 168 80 82
Estimated population abundance at 1st Jan 2014
age
year 0 1 2 3 4 5
2014 0 553 362 198 90 43
Fleet: Moroccan Longline
Log catchability residuals.
year
age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008
2 0.012 0.103 -0.211 -0.089 -0.268 -0.002 0.142 0.076 0.115 0.168
3 -0.035 0.170 -0.244 0.090 -0.145 0.093 0.183 0.069 0.040 0.153
4 -0.064 0.161 -0.170 0.014 -0.114 0.170 0.329 0.100 -0.051 0.008
year
age 2009 2010 2011
2 -0.021 -0.066 -0.071
3 -0.094 -0.057 -0.207
4 -0.114 -0.125 -0.103
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -1.4740 -0.6464 0.1778
S.E_Logq 0.1375 0.1375 0.1375
Fleet: Spanish Longline
Log catchability residuals.
year
age 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
2 0.211 -0.178 -0.259 -0.158 -0.308 -0.062 0.017 -0.123 -0.402 -0.283
3 -0.098 -0.008 -0.027 -0.250 -0.231 0.179 0.184 0.135 -0.359 -0.409
4 -0.641 -0.330 0.336 -0.087 -0.284 0.155 0.360 0.217 -0.065 -0.302
year
age 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007
2 -0.205 -0.305 -0.355 -0.301 -0.083 -0.458 -0.490 -0.257 -0.065 0.219
3 -0.228 -0.343 -0.280 -0.325 0.105 -0.325 -0.387 -0.207 -0.063 0.153
4 -0.337 -0.362 -0.278 -0.240 0.039 -0.284 -0.299 -0.051 -0.021 0.072
year
age 2008 2009 2010 2011 2012 2013
2 0.401 0.119 0.158 0.308 0.369 -0.077
3 0.395 0.055 0.176 0.181 0.277 -0.061
4 0.261 0.046 0.118 0.295 0.243 -0.139
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -0.9738 -0.1551 0.6586
S.E_Logq 0.2488 0.2488 0.2488
Fleet: Scilian Longline
Log catchability residuals.
year
age 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
2 -0.001 0.043 NA -0.050 0.095 NA -0.387 0.161 0.341 -0.187 0.366
3 -0.115 0.097 NA 0.094 0.330 NA -0.537 0.115 0.280 -0.134 0.320
4 0.043 0.040 NA 0.266 0.408 NA -0.434 0.002 0.257 -0.137 0.400
year
age 2002 2003 2004 2005 2006 2007 2008 2009
2 0.580 -0.361 0.015 0.070 0.202 -0.263 -0.231 -0.070
3 0.746 -0.251 0.096 0.097 0.182 -0.351 -0.260 -0.157
4 0.675 -0.215 0.178 0.249 0.219 -0.437 -0.399 -0.171
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -0.8469 -0.0055 0.8129
S.E_Logq 0.2923 0.2923 0.2923
Fleet: Scilian Gillnet
Log catchability residuals.
year
age 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000
2 -0.268 0.206 0.811 0.480 0.133 0.490 -0.050 0.457 0.159 0.395 0.512
3 -0.044 0.106 0.880 0.713 0.292 0.740 -0.015 0.323 0.128 0.349 0.579
4 0.295 0.245 0.804 0.665 0.444 0.798 0.256 0.407 -0.005 0.307 0.557
year
age 2001 2002 2003 2004 2005 2006 2007 2008 2009
2 0.499 NA NA 0.554 0.280 1.214 NA -0.973 -1.456
3 0.467 NA NA 0.650 0.321 1.209 NA -0.987 -1.528
4 0.528 NA NA 0.713 0.454 1.226 NA -1.145 -1.561
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -3.3793 -2.5526 -1.7152
S.E_Logq 0.6471 0.6471 0.6471
Fleet: Greek Longline
Log catchability residuals.
year
age 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
2 -0.149 0.192 NA -0.152 0.435 -0.414 0.101 0.351 -0.214 NA NA
3 -0.677 -0.117 NA 0.080 0.343 -0.338 0.341 0.517 0.043 NA NA
4 -1.187 -0.658 NA 0.444 0.508 -0.388 0.319 0.695 0.127 NA NA
year
age 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007
2 0.475 0.212 -0.074 0.097 -0.260 -0.090 -0.008 -0.075 -0.019 0.122
3 0.451 0.173 0.001 0.072 -0.072 0.042 0.095 -0.027 -0.018 0.055
4 0.345 0.157 0.005 0.159 -0.136 0.085 0.184 0.132 0.027 -0.023
year
age 2008 2009 2010 2011 2012 2013
2 0.020 -0.088 0.108 -0.036 -0.087 0.098
3 0.013 -0.153 0.125 -0.164 -0.180 0.114
4 -0.119 -0.160 0.069 -0.047 -0.212 0.038
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -0.7552 0.0646 0.8757
S.E_Logq 0.2873 0.2873 0.2873
Fleet: Ligurian Longline
Log catchability residuals.
year
age 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000
2 -0.359 -0.588 -0.622 -0.375 -0.410 -0.501 -0.334 0.056 -0.288 -0.053
3 -0.473 -0.534 -0.404 -0.231 -0.174 -0.481 -0.483 0.010 -0.349 0.000
4 -0.317 -0.593 -0.435 -0.062 -0.099 -0.193 -0.382 -0.106 -0.374 -0.005
year
age 2001 2002 2003 2004 2005 2006 2007 2008 2009
2 0.366 -0.031 0.023 -0.335 -0.584 -0.147 0.590 0.410 -0.083
3 0.319 0.135 0.133 -0.254 -0.557 -0.168 0.501 0.381 -0.170
4 0.398 0.062 0.167 -0.174 -0.407 -0.133 0.414 0.240 -0.186
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -0.6145 0.2270 1.0475
S.E_Logq 0.3142 0.3142 0.3142
Terminal year survivor and F summaries:
,Age 0 Year class =2013
source
scaledWts survivors yrcls
fshk 0.081 72 2013
nshk 0.919 662 2013
,Age 1 Year class =2012
source
scaledWts survivors yrcls
fshk 1 271 2012
,Age 2 Year class =2011
source
scaledWts survivors yrcls
Spanish Longline 0.365 183 2011
Greek Longline 0.397 218 2011
fshk 0.239 189 2011
,Age 3 Year class =2010
source
scaledWts survivors yrcls
Spanish Longline 0.392 84 2010
Greek Longline 0.392 101 2010
fshk 0.217 60 2010
,Age 4 Year class =2009
source
scaledWts survivors yrcls
Spanish Longline 0.393 38 2009
Greek Longline 0.393 45 2009
fshk 0.214 42 2009Table 4b. XSA diagnostics from alternative run.
FLR XSA Diagnostics 2015-03-26 09:00:33
CPUE data from indices
Catch data for 29 years 1985 to 2013. Ages 0 to 5.
fleet first age last age first year last year alpha beta
1 Moroccan Longline 2 4 1999 2011 <NA> <NA>
2 Spanish Longline 2 4 1988 2013 <NA> <NA>
3 Scilian Longline 2 4 1991 2009 <NA> <NA>
4 Scilian Gillnet 2 4 1990 2009 <NA> <NA>
5 Greek Longline 2 4 1987 2013 <NA> <NA>
6 Ligurian Longline 2 4 1991 2009 <NA> <NA>
Time series weights :
Tapered time weighting applied
Power = 3 over 20 years
Catchability analysis :
Catchability independent of size for ages > 1
Catchability independent of age for ages > 4
Terminal population estimation :
Survivor estimates shrunk towards the mean F
of the final 5 years or the 1 oldest ages.
S.E. of the mean to which the estimates are shrunk = 0.5
Minimum standard error for population
estimates derived from each fleet = 0.3
prior weighting not applied
Regression weights
year
age 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
all 0.751 0.82 0.877 0.921 0.954 0.976 0.99 0.997 1 1
Fishing mortalities
year
age 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
0 0.077 0.027 0.038 0.032 0.023 0.023 0.053 0.127 0.036 0.007
1 0.441 0.428 0.364 0.504 0.544 0.408 0.372 0.325 0.237 0.295
2 0.637 0.682 0.665 0.600 0.641 0.568 0.520 0.549 0.375 0.513
3 0.670 0.601 0.541 0.603 0.541 0.512 0.784 0.696 0.402 0.429
4 0.759 0.668 0.617 0.563 0.372 0.622 0.863 0.560 0.412 0.415
5 0.759 0.668 0.617 0.563 0.372 0.622 0.863 0.560 0.412 0.415
XSA population number (Thousand)
age
year 0 1 2 3 4 5
2004 990 765 377 152 64 65
2005 788 750 403 163 64 68
2006 969 628 400 167 73 95
2007 943 763 357 169 80 72
2008 779 747 378 160 75 50
2009 686 624 355 163 76 52
2010 651 549 340 165 80 55
2011 864 506 310 165 62 57
2012 752 623 299 146 67 86
2013 680 594 403 168 80 82
Estimated population abundance at 1st Jan 2014
age
year 0 1 2 3 4 5
2014 0 553 362 198 90 43
Fleet: Moroccan Longline
Log catchability residuals.
year
age 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008
2 0.012 0.103 -0.211 -0.089 -0.268 -0.002 0.142 0.076 0.115 0.168
3 -0.035 0.170 -0.244 0.090 -0.145 0.093 0.183 0.069 0.040 0.153
4 -0.064 0.161 -0.170 0.014 -0.114 0.170 0.329 0.100 -0.051 0.008
year
age 2009 2010 2011
2 -0.021 -0.066 -0.071
3 -0.094 -0.057 -0.207
4 -0.114 -0.125 -0.103
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -1.4740 -0.6464 0.1778
S.E_Logq 0.1375 0.1375 0.1375
Fleet: Spanish Longline
Log catchability residuals.
year
age 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
2 0.211 -0.178 -0.259 -0.158 -0.308 -0.062 0.017 -0.123 -0.402 -0.283
3 -0.098 -0.008 -0.027 -0.250 -0.231 0.179 0.184 0.135 -0.359 -0.409
4 -0.641 -0.330 0.336 -0.087 -0.284 0.155 0.360 0.217 -0.065 -0.302
year
age 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007
2 -0.205 -0.305 -0.355 -0.301 -0.083 -0.458 -0.490 -0.257 -0.065 0.219
3 -0.228 -0.343 -0.280 -0.325 0.105 -0.325 -0.387 -0.207 -0.063 0.153
4 -0.337 -0.362 -0.278 -0.240 0.039 -0.284 -0.299 -0.051 -0.021 0.072
year
age 2008 2009 2010 2011 2012 2013
2 0.401 0.119 0.158 0.308 0.369 -0.077
3 0.395 0.055 0.176 0.181 0.277 -0.061
4 0.261 0.046 0.118 0.295 0.243 -0.139
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -0.9738 -0.1551 0.6586
S.E_Logq 0.2488 0.2488 0.2488
Fleet: Scilian Longline
Log catchability residuals.
year
age 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001
2 -0.001 0.043 NA -0.050 0.095 NA -0.387 0.161 0.341 -0.187 0.366
3 -0.115 0.097 NA 0.094 0.330 NA -0.537 0.115 0.280 -0.134 0.320
4 0.043 0.040 NA 0.266 0.408 NA -0.434 0.002 0.257 -0.137 0.400
year
age 2002 2003 2004 2005 2006 2007 2008 2009
2 0.580 -0.361 0.015 0.070 0.202 -0.263 -0.231 -0.070
3 0.746 -0.251 0.096 0.097 0.182 -0.351 -0.260 -0.157
4 0.675 -0.215 0.178 0.249 0.219 -0.437 -0.399 -0.171
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -0.8469 -0.0055 0.8129
S.E_Logq 0.2923 0.2923 0.2923
Fleet: Scilian Gillnet
Log catchability residuals.
year
age 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000
2 -0.268 0.206 0.811 0.480 0.133 0.490 -0.050 0.457 0.159 0.395 0.512
3 -0.044 0.106 0.880 0.713 0.292 0.740 -0.015 0.323 0.128 0.349 0.579
4 0.295 0.245 0.804 0.665 0.444 0.798 0.256 0.407 -0.005 0.307 0.557
year
age 2001 2002 2003 2004 2005 2006 2007 2008 2009
2 0.499 NA NA 0.554 0.280 1.214 NA -0.973 -1.456
3 0.467 NA NA 0.650 0.321 1.209 NA -0.987 -1.528
4 0.528 NA NA 0.713 0.454 1.226 NA -1.145 -1.561
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -3.3793 -2.5526 -1.7152
S.E_Logq 0.6471 0.6471 0.6471
Fleet: Greek Longline
Log catchability residuals.
year
age 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997
2 -0.149 0.192 NA -0.152 0.435 -0.414 0.101 0.351 -0.214 NA NA
3 -0.677 -0.117 NA 0.080 0.343 -0.338 0.341 0.517 0.043 NA NA
4 -1.187 -0.658 NA 0.444 0.508 -0.388 0.319 0.695 0.127 NA NA
year
age 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007
2 0.475 0.212 -0.074 0.097 -0.260 -0.090 -0.008 -0.075 -0.019 0.122
3 0.451 0.173 0.001 0.072 -0.072 0.042 0.095 -0.027 -0.018 0.055
4 0.345 0.157 0.005 0.159 -0.136 0.085 0.184 0.132 0.027 -0.023
year
age 2008 2009 2010 2011 2012 2013
2 0.020 -0.088 0.108 -0.036 -0.087 0.098
3 0.013 -0.153 0.125 -0.164 -0.180 0.114
4 -0.119 -0.160 0.069 -0.047 -0.212 0.038
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -0.7552 0.0646 0.8757
S.E_Logq 0.2873 0.2873 0.2873
Fleet: Ligurian Longline
Log catchability residuals.
year
age 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000
2 -0.359 -0.588 -0.622 -0.375 -0.410 -0.501 -0.334 0.056 -0.288 -0.053
3 -0.473 -0.534 -0.404 -0.231 -0.174 -0.481 -0.483 0.010 -0.349 0.000
4 -0.317 -0.593 -0.435 -0.062 -0.099 -0.193 -0.382 -0.106 -0.374 -0.005
year
age 2001 2002 2003 2004 2005 2006 2007 2008 2009
2 0.366 -0.031 0.023 -0.335 -0.584 -0.147 0.590 0.410 -0.083
3 0.319 0.135 0.133 -0.254 -0.557 -0.168 0.501 0.381 -0.170
4 0.398 0.062 0.167 -0.174 -0.407 -0.133 0.414 0.240 -0.186
Mean log catchability and standard error of ages with catchability
independent of year class strength and constant w.r.t. time
2 3 4
Mean_Logq -0.6145 0.2270 1.0475
S.E_Logq 0.3142 0.3142 0.3142
Terminal year survivor and F summaries:
,Age 0 Year class =2013
source
scaledWts survivors yrcls
fshk 0.081 72 2013
nshk 0.919 662 2013
,Age 1 Year class =2012
source
scaledWts survivors yrcls
fshk 1 271 2012
,Age 2 Year class =2011
source
scaledWts survivors yrcls
Spanish Longline 0.365 183 2011
Greek Longline 0.397 218 2011
fshk 0.239 189 2011
,Age 3 Year class =2010
source
scaledWts survivors yrcls
Spanish Longline 0.392 84 2010
Greek Longline 0.392 101 2010
fshk 0.217 60 2010
,Age 4 Year class =2009
source
scaledWts survivors yrcls
Spanish Longline 0.393 38 2009
Greek Longline 0.393 45 2009
fshk 0.214 42 2009